数字心电图复合物用于 Paroxysmal 心房的风险分层
A V Frolov1, O P Melnikova2, A P Vorobiev2
1DSc, Professor, Head of the Laboratory of Medical Information Technologies; Republican Scientific and Practical Centre "Cardiology", Ministry of Health of the Republic of Belarus, 110 R. Luxembourg St., Minsk, 220036, Belarus.
一个新的系统,Intecard 8.1,使用心电图在鼻腔节律中识别隐藏的心房动 (AF). 它分析了P波标记物,在预测心脏病患者的AF发作方面显示出高准确度.
科学领域:
- 心脏病学和医疗信息学
- 电心电图和心律失常检测
- 生物医学工程和信号处理.
背景情况:
- 隐藏的心房动 (AF) 带来了诊断挑战,通常需要先进的检测方法.
- 鼻腔节律中的标准心电图可能不会显示间歇性AF,因此需要分析微妙的电动不稳定性标志物.
- 早期识别患有隐性AF风险的个体对于及时干预和预防中风至关重要.
研究的目的:
- 开发和临床验证一个硬件软件系统,用于识别隐藏AF的预测因子,使用脉节律中的12导心电图.
- 评估特定的P波特征和衍生得出的分数作为心房电动不稳定性的指标.
- 评估该系统在预测患有缺血性心脏病或扩张性心肌病的患者的AF发作中的有效性.
主要方法:
- 开发"Intecard 8.1"系统,分析 3-5 分钟内心电图记录的鼻腔节律.
- 标记物的评估:P波幅度 (<0.1 mV),持续时间 (>120 ms),心房间隔,终端P波面积 (<-4 mV·ms) 和MVP得分 (>3).
- 120名患者的临床试验;用于改进P波检测的相变换方法.
主要成果:
- 在Intecard 8.1系统中,发现了18.3%的患者在12-22个月内出现了随后的AF发作.
- 患有AF的患者显示P波幅降低 (p=0.029),持续时间增加 (p<0.001),MVP得分更高 (p<0.01).
- 最值得关注的评分 (>3) 显示出高预后意义 (AUC=0.988),92%的灵敏度和89%的特异性预测隐藏的AF.
结论:
- 数字电心电图复合体"Intecard 8.1"有效地识别高风险的患者隐藏的AF使用标准ECGs在鼻腔节律.
- 对P波参数的动态评估可以进行个性化的风险分层和心房的管理.
- 该系统为心脏病学中早期检测和预防策略提供了宝贵的工具.
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